Daniel Hennes

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	Toate	Din 2020
Referințe bibliografice	3021	2201
h-index	27	24
i10-index	51	37

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Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolAdresă de e-mail confirmată pe hcompany.ai
Dario IzzoScientist at the European Space AgencyAdresă de e-mail confirmată pe esa.int
Daan BloembergenAI Researcher, City of AmsterdamAdresă de e-mail confirmată pe amsterdam.nl
Shayegan OmidshafieiChief Scientist at Field AI (previously: Google DeepMind, Google Research, MIT)Adresă de e-mail confirmată pe google.com
Michael KaisersDeepMindAdresă de e-mail confirmată pe deepmind.com
Marc LanctotResearch Scientist, Google DeepMindAdresă de e-mail confirmată pe google.com
julien perolatDeepMindAdresă de e-mail confirmată pe google.com
Paul MullerResearch Scientist, DeepmindAdresă de e-mail confirmată pe google.com
Rémi MunosFAIR, MetaAdresă de e-mail confirmată pe inria.fr
Sjriek AlersFontys university of applied sciencesAdresă de e-mail confirmată pe fontys.nl
Mark RowlandResearch Scientist, Google DeepMindAdresă de e-mail confirmată pe google.com
Wim MeeussenWillow Garage IncAdresă de e-mail confirmată pe willowgarage.com
Siqi LiuDeepMind, University College of LondonAdresă de e-mail confirmată pe google.com
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLAdresă de e-mail confirmată pe ucl.ac.uk
Luís F. SimõesML AnalyticsAdresă de e-mail confirmată pe esa.int
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyAdresă de e-mail confirmată pe tu-berlin.de
Marcus MärtensAustralian Institute of Machine LearningAdresă de e-mail confirmată pe adelaide.edu.au
Guido de CroonFull professor, Delft University of TechnologyAdresă de e-mail confirmată pe tudelft.nl
Edgar A. Duéñez-GuzmánGoogle DeepMindAdresă de e-mail confirmată pe oeb.harvard.edu
Matthias RAUTERBERGEindhoven University of Technology (TU/e)Adresă de e-mail confirmată pe tue.nl

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Daniel Hennes

Research Scientist, Google DeepMind

Adresă de e-mail confirmată pe google.com


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Evolutionary dynamics of multi-agent learning: A survey D Bloembergen, K Tuyls, D Hennes, M Kaisers Journal of Artificial Intelligence Research 53, 659-697, 2015	376	2015
OpenSpiel: A framework for reinforcement learning in games M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ... arXiv preprint arXiv:1908.09453, 2019	290	2019
Mastering the game of Stratego with model-free multiagent reinforcement learning J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ... Science 378 (6623), 990-996, 2022	239	2022
Multi-robot collision avoidance with localization uncertainty D Hennes, D Claes, W Meeussen, K Tuyls Proceedings of the 11th International Conference on Autonomous Agents and …, 2012	167	2012
From motor control to team play in simulated humanoid football S Liu, G Lever, Z Wang, J Merel, SMA Eslami, D Hennes, WM Czarnecki, ... Science Robotics 7 (69), eabo0235, 2022	123	2022
A generalized training approach for multiagent learning P Muller, S Omidshafiei, M Rowland, K Tuyls, J Perolat, S Liu, D Hennes, ... arXiv preprint arXiv:1909.12823, 2019	120	2019
Game Plan: What AI can do for Football, and What Football can do for AI K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ... Journal of Artificial Intelligence Research 71, 41-88, 2021	114	2021
Collision avoidance under bounded localization uncertainty D Claes, D Hennes, K Tuyls, W Meeussen 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	105	2012
Evolving solutions to TSP variants for active space debris removal D Izzo, I Getzner, D Hennes, LF Simões Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015	100	2015
Neural replicator dynamics: Multiagent learning via hedging policy gradients D Hennes, D Morrill, S Omidshafiei, R Munos, J Perolat, M Lanctot, ... Proceedings of the 19th international conference on autonomous agents and …, 2020	68*	2020
Designing complex interplanetary trajectories for the global trajectory optimization competitions D Izzo, D Hennes, LF Simões, M Märtens Space Engineering: Modeling and Optimization with Case Studies, 151-176, 2016	68	2016
Hierarchies of octrees for efficient 3d mapping KM Wurm, D Hennes, D Holz, RB Rusu, C Stachniss, K Konolige, ... 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	63	2011
Learning the optimal state-feedback using deep networks C Sánchez-Sánchez, D Izzo, D Hennes Symposium Series on Computational Intelligence, 2016	59	2016
Novelty search for soft robotic space exploration G Methenitis, D Hennes, D Izzo, A Visser Proceedings of the 2015 annual conference on Genetic and Evolutionary …, 2015	58	2015
Effective approximations for multi-robot coordination in spatially distributed tasks D Claes, P Robbel, F Oliehoek, K Tuyls, D Hennes, W Van der Hoek Proceedings of the 14th international conference on autonomous agents and …, 2015	53	2015
Interplanetary Trajectory Planning with Monte Carlo Tree Search D Hennes, D Izzo International Joint Conference on Artificial Intelligence, 2015	51	2015
OctoSLAM: A 3D mapping approach to situational awareness of unmanned aerial vehicles J Fossel, D Hennes, D Claes, S Alers, K Tuyls 2013 International Conference on Unmanned Aircraft Systems (ICUAS), 179-188, 2013	51	2013
Fast approximators for optimal low-thrust hops between main belt asteroids D Hennes, D Izzo, D Landau Symposium Series on Computational Intelligence, 2016	48	2016
Navigating the landscape of multiplayer games S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ... Nature communications 11 (1), 5603, 2020	47	2020
Reinforcement Learning for Spacecraft Maneuvering Near Small Bodies S Willis, D Izzo, D Hennes AAS/AIAA Space Flight Mechanics Meeting, 2016	45	2016

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